DocumentCode
3646457
Title
Breast segmentation in infrared images
Author
Seçkin Özsaraç;Gözde Bozdaği Akar
Author_Institution
TÜ
fYear
2012
fDate
4/1/2012 12:00:00 AM
Firstpage
1
Lastpage
4
Abstract
Breast cancer detection with infrared imaging is a technique that is hazardous radiation free, increases the early detection chance and has a high detection probability. Asymmetry analysis is used for the diagnosis and the analysis is done using the breast segments obtained from the infrared image. In this work, a breast segmentation system based on parabolic Hough transform is presented. Besides, a filtering method using connected components is proposed to increase both the computation speed and the segmentation performance.
Keywords
"Image segmentation","Breast cancer","Infrared imaging","Histograms","Conferences","USA Councils"
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2012 20th
Print_ISBN
978-1-4673-0055-1
Type
conf
DOI
10.1109/SIU.2012.6204456
Filename
6204456
Link To Document